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The importance of utilizing biometrics to establish personal authenticity and to detect imposters is growing in the present scenario of global security concern. Also the Development of a biometric system for personal identification, which fulfills the requirement for access control of secured areas and other applications like identity validation for social(More)
Rapid growth in Electronic Medical Records (EMR) has emerged to an expansion of data in the clinical domain. The majority of the available health care information is sealed in the form of narrative documents which form the rich source of clinical information. Text mining of such clinical records has gained huge attention in various medical applications like(More)
Text mining has drawn significant attention in recent past due to the rapid growth in biomedical and clinical records. Entity extraction is one of the fundamental components for biomedical text mining. In this paper, we propose a novel approach of feature selection for entity extraction that exploits the concept of deep learning and Particle Swarm(More)
The image cryptography is one of the techniques used in the data security during communication over public domain. In the many researchers are working to make the visual cryptography techniques more robust and secure against the attack. In this paper, we have proposed the visual cryptography in the video with the halftone image as a secrete image. We have(More)
Nowadays, Spoken digit recognition is one the challenging task in the field of speech recognition. Spoken digit recognition is necessary nowadays in many applications that needed number as input like telephone dialing using speech, addresses, airline reservation & automatic directory to retrieve & send information which make the system more efficient to(More)
In this paper, a new approach for heartbeat classification is proposed. The system uses the combination of morphological and dynamic features of ECG signal. Morphological features extracted using Wavelet transform and independent component analysis (ICA). Each heartbeat undergoes both the techniques separately. The dynamic features extracted are RR interval(More)
Chemoinformatics is an emerging field. In the field of drug discovery, with a need for rational selection of a highly needed Chemoinformatics data, a technique to select, process and visualize the data is crucial. Through visualization, certain hidden form of knowledge can be achieved. Visual data exploration is really useful when little is known about the(More)